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Ai Integration Jobs in Alaska (NOW HIRING)

Real-time AI integration, customer experience enhancements such as conversational AI, agentic AI digital workers, and omnichannel communications to improve customer experiences, productivity and ...

... AI-driven discovery platforms. * Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources. * Provide ...

AI Automation Developer

Anchorage, AK · On-site

$110 - $160/hr

Our client is seeking an experienced Automation Developer / AI Solutions Engineer to join their ... Experience integrating enterprise systems and APIs. * Familiarity with DevOps, CI/CD pipelines, and ...

Architect stateful, memory-aware AI systems that manage long-running claims processes across ... Design secure tool integration layers connecting agents to claims systems, policy platforms, data ...

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Showing results 1-20

Ai Integration information

See Alaska salary details

$23.2K

$127.1K

$184.2K

How much do ai integration jobs pay per year?

As of Aug 29, 2026, the average yearly pay for ai integration in Alaska is $127,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,800.00 per year, depending on experience, location, and employer.

What is AI integration?

AI integration refers to the process of incorporating artificial intelligence technologies into existing systems, applications, or business processes to enhance automation, improve decision-making, and optimize performance. This can involve connecting AI models, such as machine learning algorithms or natural language processing tools, with software platforms, databases, or workflows. The goal is to enable systems to analyze data, learn from patterns, and perform tasks that traditionally required human intelligence. AI integration can benefit a wide range of industries, including healthcare, finance, manufacturing, and customer service.

What are some common challenges faced when integrating AI solutions into existing business processes?

One of the most common challenges in AI integration is ensuring that new AI tools seamlessly interact with legacy systems and data formats. Team members often need to address data quality issues, adapt workflows, and manage stakeholder expectations regarding the capabilities and limitations of AI. Collaboration with IT, operations, and business units is essential to customize solutions and ensure user adoption. Additionally, ongoing monitoring and retraining of AI models is necessary to maintain performance and align with evolving business goals.

What are the key skills and qualifications needed to thrive as an AI integration specialist, and why are they important?

To excel as an AI Integration Specialist, you need a solid background in computer science, proficiency in programming languages (such as Python), and experience with machine learning frameworks, often supported by a relevant degree or certifications. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), APIs, and integration tools is typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams make someone stand out in this role. These competencies are crucial for successfully implementing AI solutions that align with business needs and ensuring seamless system interoperability.

What is the difference between Ai Integration vs Data Analyst?

AspectAi IntegrationData Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related fields; knowledge of AI/ML toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI development teams, software firmsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageDeveloping AI solutions, integrating AI into productsInterpreting data, generating reports, supporting decision-making

While Ai Integration specialists focus on implementing AI systems and integrating AI technologies into applications, Data Analysts interpret data to provide insights and support business decisions. Both roles require analytical skills, but Ai Integration emphasizes technical development and system integration, whereas Data Analysts focus on data interpretation and reporting.

How to get into AI integration?

To pursue a career in AI integration, develop skills in programming languages like Python, understand machine learning frameworks, and gain experience with AI tools and APIs. Earning relevant certifications and working on projects that demonstrate AI implementation can improve job prospects.

What are popular job titles related to Ai Integration jobs in Alaska?

For Ai Integration jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Ai Integration jobs in Alaska look for?

The top searched job categories for Ai Integration jobs in Alaska are:

What cities in Alaska are hiring for Ai Integration jobs?

Cities in Alaska with the most Ai Integration job openings:

Infographic showing various Ai Integration job openings in Alaska as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $127,065 per year, or $61.1 per hour.

AI Consulting Architect

Anchorage, AK • On-site


CompuNet, Inc.
Health Care and Social Assistance • 501 - 1,000 employees

6.8

Company rating: 6.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

90th of 120 rated laboratories

People enjoy working here

Respectful managers

Good training


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Why join CompuNet?
CompuNet values its people more than any other asset-and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer.
We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more.
CompuNet is seeking an experienced and visionary AI Consulting Architect to drive the growth and evolution of our AI offerings with our customers. In this dual-threat role, you will serve as both a strategic technology leader and a high-impact, customer-facing pre-sales expert. You will bridge established technology domains-including Cloud, Cybersecurity, Enterprise Networking, and Collaboration-while guiding executive-level clients toward transformative AI-driven business solutions.
Expectations and Responsibilities
  • Act as a senior business expert and high-level technical authority in customer-facing pre-sales engagements, meeting directly with Executives, Directors, and IT leaders to understand their business challenges.
  • Translate complex enterprise business problems into compelling, tailored AI architectures and solution proposals.
  • Help organizations build and frame ROIs for AI business initiatives.
  • Lead technical discussions to highlight the value of our Enterprise AI portfolio, including:
  • Cloud: Hybrid AI workload deployment and scalability.
  • Cybersecurity: Compliance and governance frameworks, data privacy, and secure LLM integration.
  • Enterprise Networking: Edge-to-cloud connectivity, latency optimization, and infrastructure readiness for AI workloads.
  • Collaboration: Real-time AI integration, customer experience enhancements such as conversational AI, agentic AI digital workers, and omnichannel communications to improve customer experiences, productivity and operating costs.
  • Datacenter: Infrastructure design and deployment.
  • Collaborate with our engineering teams, sales teams, and technical domain leaders to define and refine the long-term strategic focus of CompuNet's AI offerings.
  • Stay ahead of emerging AI trends, industry standards, and competitive landscapes to continuously evolve our solution architecture.
  • Champion best practices for scalable, ethical, and high-performance AI deployment across our client base.

Minimum Requirements
  • 10+ years in IT architecture, enterprise engineering, and technical pre-sales, with at least 3 years specializing in Artificial Intelligence, Machine Learning, and Generative AI solutions.
  • Pre-sales acumen with a proven track record of client-facing success.
  • Demonstratable ability to lead high-stakes business discussions marrying outcome to technical solutions in front of executive leadership teams (CIOs, CTOs, CISOs, Directors)
  • Fluency in technology domains like datacenter infrastructure, cloud platforms, enterprise networking, and collaboration ecosystems.
  • AI/ML proficiency including LLMs, RAG architectures, MCP, AI model deployment, and AI governance frameworks.
  • Exceptional verbal and written communication skills with the ability to articulate deeply technical concepts to non-technical business stakeholders.
  • Experiencing scaling AI initiatives and driving enterprise-wide digital transformations within a consulting or systems integration environment.

Compensation and Benefits
We offer a full and comprehensive compensation package, including:
  • Medical, dental, vision, Employee Assistance Program, and Flexible Spending Accounts
  • Life and AD&D insurance, disability coverage, critical illness, and accident insurance
  • Employee Stock Ownership Plan (ESOP)
  • Company-matching 401(k) and profit sharing
  • Paid Time Off (PTO) and paid holidays
  • Competitive salary, with eligibility for variable compensation such as commission, bonuses, and profit sharing included

Who we are
CompuNet, Inc. is an engineering-led IT solution provider that offers consulting, design, and professional services. Our strength lies in our team of outcome-driven and relationship-focused professionals with a long history of designing IT solutions. Our team of highly skilled engineers take the lead in designing, developing, and implementing solutions that address complex business challenges. This team takes ownership for the entire project lifecycle, from discovery and design through deployment, training, and handoff.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.


What CompuNet Clinical Laboratories employees say

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